Results 91 to 100 of about 3,649,707 (385)

A Time-spectral Approach to Numerical Weather Prediction

open access: yes, 2017
Finite difference methods are traditionally used for modelling the time domain in numerical weather prediction (NWP). Time-spectral solution is an attractive alternative for reasons of accuracy and efficiency and because time step limitations associated ...
Lindvall, Kristoffer   +2 more
core   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

open access: yesAdvanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec   +6 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

NOAA Space Weather Prediction Center Radiation Advisories for the International Civil Aviation Organization

open access: yesSpace Weather, 2023
The National Oceanic and Atmospheric Administration's Space Weather Prediction Center (NOAA/SWPC) issues several solar radiation storm products: the long standing proton Warnings and Alerts that are based on particle intensity levels observed by the ...
H. M. Bain   +3 more
doaj   +1 more source

Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes

open access: yesAdvanced Engineering Materials, EarlyView.
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh   +3 more
wiley   +1 more source

The Evaluation of Return Radiosonde Temperature using GNSS Radio Occultation Retrievaled Temperature

open access: yesGaoyuan qixiang, 2023
It is necessary to evaluate the quality of a new type of observation data before using it for data assimilation.Based on GNSS radio occultation (RO) and ERA-Interim reanalysis data, the quality of temperature in the ascent, drift and descent stage of ...
Na RONG   +3 more
doaj   +1 more source

Use and impact of Arctic observations in the ECMWF Numerical Weather Prediction system

open access: yesQuarterly Journal of the Royal Meteorological Society, 2019
This paper presents an assessment of the usage of Arctic atmospheric observations in the Numerical Weather Prediction (NWP) system of the European Centre for Medium‐Range Weather Forecasts, and of their impact on the quality of short‐ to medium‐range ...
H. Lawrence   +5 more
semanticscholar   +1 more source

Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang   +8 more
wiley   +1 more source

Compatible finite element methods for numerical weather prediction [PDF]

open access: yes, 2014
This article takes the form of a tutorial on the use of a particular class of mixed finite element methods, which can be thought of as the finite element extension of the C-grid staggered finite difference method.
Cotter, C. J., McRae, A. T. T.
core  

Evaluation of Machine Learning Techniques for Green Energy Prediction [PDF]

open access: yesarXiv, 2014
We evaluate the following Machine Learning techniques for Green Energy (Wind, Solar) Prediction: Bayesian Inference, Neural Networks, Support Vector Machines, Clustering techniques (PCA). Our objective is to predict green energy using weather forecasts, predict deviations from forecast green energy, find correlation amongst different weather parameters
arxiv  

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